2016
Increasing profits through genetic resistance to SDS
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Lead Principal Investigator:
Brian Diers, University of Illinois at Urbana-Champaign
Co-Principal Investigators:
Dechun Wang, Michigan State University
Jason Bond, Southern Illinois University at Carbondale
Osman Radwan, University of Illinois-Carbondale
James Orf, University of Minnesota
Glen Hartman, USDA/ARS-University of Illinois
+4 More
Project Code:
2015-06853-00-00
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

This is a request for the third and final year of funding for this project. The goal of this proposed research is to increase growers’ profits by improving yields with genetic resistance to sudden death syndrome (SDS). This goal will be met through increasing our understanding of the genetic control of SDS resistance, which will help breeders more efficiently select for SDS resistance. The goal will be achieved through meeting the objectives: (1) Map the locations on chromosomes of genes that confer resistance to SDS and develop molecular markers linked to resistance genes. (2) Confirm the effects of mapped genes so they can be bred into elite soybean breeding lines as part of the breeding...

Unique Keywords:
#breeding, #breeding & genetics, #genetics , #resistance, #sudden death syndrome
Information And Results
Project Deliverables

1. The mapping populations in Michigan will be rated for SDS symptoms in those environments with significant disease symptoms and genes controlling SDS resistance will be mapped.
2. Data from field evaluations of validation populations will be analyzed to validate the SDS resistance genes identified in the mapping population.
3. Disease resistance data from the evaluations of the NIL confirmation populations will be analyzed. A manuscript will be prepared describing the results from the testing of the confirmation populations across years.
4. A manuscript will be prepared describing results from gene expression studies with NILs that are identical in their genetic background except for resistance to SDS.
5. Data analysis along with the gene annotation will be completed to identify common and different gene regulation pathways between roots and leaves. Additionally, qRT-PCR will be used to validate RNA-Seq data.

Final Project Results

Update:
See October 3rd report for final report

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.